Articles

. This talk discusses the nature of different kinds of scales and controversies over issues on the generation of scalar implicatures, particularly those in complex sentences involving disjunction and another operator in its scope, and so on. The pragmatic position based on Gricean reasoning in opposition to the grammatical position …...

. The essential characteristic of a signed language corpus is that it has been anno- tated, and not, contrary to the practice of many signed language researchers, that it has been transcribed. Annotations are necessary for corpus-based investigations of signed or spoken languages. Multi-media annotation software can now be used …...

. As the World Wide Web rapidly grows, a huge number of online documents are easily accessible on the Web. We obtain a huge number of review documents that include user’s opinions for products. To classify the opinions is one of the hottest topics in natural language processing. In general, …...

. The ability to detect new topics and track them is important given the huge amounts of documents. This paper introduces a trend-based document clustering algorithm for analyzing them. Its key characteristic is that it gives scores to words on the basis of the fluctuation in word frequency. The algorithm …...

. This paper presents results of the first phase of our study aimed at investigating the applicability of word-space models, particularly those generated using Random Indexing (RI) technique, for the task of determining the relevance of messages posted in anchored asynchronous online discussion forums. In this phase, we addressed several …...

. This paper describes a preliminary work on prosody modeling aspect of a spoken language understanding system for Thai. Specifically, the model is designed to integrate prosodics into a language model based on constraint dependency grammar. There are two steps involved, namely the prosodic annotation process and the prosodic disambiguation …...

. In this paper, we apply Max-Margin Markov Networks (M3Ns) to English base phrases chunking, which is a large margin approach combining both the advantages of graphical models(such as Conditional Random Fields, CRFs) and kernel-based approaches (such as Support Vector Machines, SVMs) to solve the problems of multi-label multi-class supervised …...

. This paper presents a morphological analyzer that accepts Filipino verbs conjugated in different forms as inputs and analyzes them to produce the affixes used, the infinitive forms, and the tenses of the original input verbs. A prototype system was implemented and was fed with a file containing 1,050 Filipino …...

Speech and music discrimination is one of the most important issues for multimedia information retrieval and efficient coding. While many features have been proposed, seldom of which show robustness under noisy condition, especially in telecommunication applications. In this paper two novel features based on real cepstrum are presented to represent …...

This paper mainly addresses the problem of determining voice activity in presence of noise, especially in a dynamically varying background noise. The proposed voice activity detection algorithm is based on structure of three-layer wavelet decomposition. Appling auto-correlation function into each subband exploits the fact that intensity of periodicity is more …...

Propositional terms in a research abstract (RA) generally convey the most important information for readers to quickly glean the contribution of a research article. This paper considers propositional term extraction from RAs as a sequence labeling task using the IOB (Inside, Outside, Beginning) encoding scheme. In this study, conditional random …...

We propose a new method for organizing the numerous collocates into semantic thesaurus categories. The approach introduces a thesaurus-based semantic classification model automatically learning semantic relations for classifying adjective-noun (A-N) and verb-noun (V-N) collocations into different categories. Our model uses a random walk over weighted graph derived from WordNet semantic …...

In this paper, we take Determinative-Measure Compounds as an example to demonstrate how the E-HowNet semantic composition mechanism works in deriving the sense representations for all determinative-measure (DM) compounds which is an open set. We define the sense of a closed set of each individual determinative and measure word in …...

Current readability formulae have often been criticized for being unstable or not valid. They are mostly computed in regression analysis based on intuitively-chosen variables and graded readings. This study explores the relation between text readability and the conceptual categories proposed in Prototype Theory. These categories form a hierarchy: Basic level …...

AbstractThis paper reports on the use of the Mitkov ́s algorithm for pronoun resolution in texts written in Brazilian Portuguese. Third person pronouns are the only ones focused upon here, with noun phrases as antecedents. A system for anaphora resolution in Brazilian Portuguese texts was built that embeds most of …...

In this paper we provide benchmark results for two classes of methods used in inter- preting noun compounds (NCs): semantic similarity-based methods and their hybrids. We evaluate the methods using 7-way and binary class data from the nominal pair in- terpretation task of SEMEVAL-2007.1 We summarize and analyse our results, …...

In recent years there have been various ap- proaches aimed at automatic acquisition of predominant senses of words. This infor- mation can be exploited as a powerful back- off strategy for word sense disambiguation given the zipfian distribution of word senses. Approaches which do not require manually sense-tagged data have …...

Distributional similarity is a widely used concept to capture the semantic relatedness of words in various NLP tasks. However, ac- curate similarity calculation requires a large number of contexts, which leads to imprac- tically high computational complexity. To alleviate the problem, we have investigated the effectiveness of automatic context selec- …...

Wikipedia is the largest organized knowledge repository on the Web, increasingly employed by natural language processing and search tools. In this paper, we investigate the task of labeling Wikipedia pages with standard named entity tags, which can be used further by a range of in- formation extraction and language processing …...

In a broad range of natural language pro- cessing tasks, large-scale knowledge-base of paraphrases is anticipated to improve their performance. The key issue in creating such a resource is to establish a practical method of computing semantic equivalence and syn- tactic substitutability, i.e., paraphrasability, between given pair of expressions. This …...